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Jamri AB QMT181/212/216 
1 
CHAPTER 2 : DATA PRESENTATION 
2.1 ORGANISING AND GRAPHING QUALITATIVE DATA 
Qualitative data can be classified into categories or classes. They can best be presented in the form of frequency distribution, bar chart, pie chart and contingency table. 
a) Frequency distribution 
There are many forms of tables available such as : 
i) One-way table - the simplest form of table that describes information concerning 
a single variable. 
Example 1: 
The number of contractors in State EMAS. 
Class 
Number of contractors 
A 
7 
B 
17 
C 
23 
D 
35 
E 
40 
ii) Two-way table or contingency table – summarizes information concerning two 
variables. 
Example 2: 
The number of contractors in State EMAS according to District. 
District 
Class Category 
A 
B 
C 
D 
E 
X 
3 
4 
8 
10 
15 
Y 
2 
6 
10 
16 
13 
Z 
2 
7 
5 
9 
12 
b) Bar Charts 
Bar charts are very often used in newspapers and magazines to convey information. 
A bar chart is one that uses the length of horizontal bars or vertical columns to represent quantities or percentages. 
i) Simple Bar Chart 
A simple bar chart is one in which the bars represent one unit quantity or variable only. The length of the bar indicates quantities or percentages. 
Example 3 
Refer to table example 1
Jamri AB QMT181/212/216 
2 
The number of contractors in state EMAS 
0 
5 
10 
15 
20 
25 
30 
35 
40 
45 
A B C D E 
Class 
Frequency 
ii) Multiple Bar Chart (Cluster bar chart) 
Example 4 
Refer to table example 2 
The number of contractors in state EMAS according to district 
0 
2 
4 
6 
8 
10 
12 
14 
16 
18 
A B C D E 
Class 
Frequency 
X 
Y 
Z 
iii) Component Bar Charts (Stacked bar chart) 
A component bar chart is one in which some of the bars are stacked on top of each other. This 
type of bar chart is often used when various totals are also to be compared. 
Example 5 
Refer to table example 2 
The number of contractors in state EMAS according to district 
0 
5 
10 
15 
20 
25 
30 
35 
40 
45 
A B C D E 
Class 
Frequency 
Z 
Y 
X
Jamri AB QMT181/212/216 
3 
iv) Percentage component bar charts 
Example 6 
Refer to table example 2 
Convert the values to percentage 
A B C D E 
X 42.9 23.5 34.8 28.6 37.5 
Y 28.6 35.3 43.5 45.7 32.5 
Z 28.6 41.2 21.7 25.7 30.0 
The number of contractors in state EMAS according to district 
0.0 
20.0 
40.0 
60.0 
80.0 
100.0 
120.0 
A B C D E 
Class 
Percentage 
Z 
Y 
X 
c) Pie Charts 
Example 7 
Refer to table example 1 
The number of contractors in state EMAS 
A 
6% 
B 
14% 
C 
19% 
D 
29% 
E 
32%
Jamri AB QMT181/212/216 
4 
2.2 ORGANISING AND GRAPHING QUANTITATIVE DATA 
Terminologies for a Frequency Distribution 
a) Class limits - the end values of a class interval. The value on the left is the lower class limit and the value on the right is the upper class limit. 
b) Class Boundary - a value that falls midway between the upper limit of one class and the lower limit of the next one. 
c) Class midpoint - the middle value of a class interval. Can be determined by averaging either the class limits or the class boundaries. 
d) Cumulative frequency - is determined by summing the frequencies for the class and all prior classes. 
Example 8: 
A frequency distribution table showing the price of houses at Bandar Teronoh is shown below: 
Cost (RM’000) 
Number of houses 
Class boundary 
Midpoint 
Cumulative frequency 
110-119 
9 
109.5-119.5 
114.5 
9 
120-129 
12 
119.5-129.5 
124.5 
21 
130-139 
16 
129.5-139.5 
134.5 
37 
140-149 
11 
139.5-149.5 
144.5 
48 
150-159 
8 
149.5-159.5 
154.5 
56 
160-169 
4 
159.5-169.5 
164.5 
60 
Amount of Steel (tones) 
Number of Buildings 
Class boundary 
Midpoint 
Cumulative frequency 
4 and less than 6 
1 
4 - 6 
5 
1 
6 and less than 8 
4 
6 – 8 
7 
5 
8 and less than 10 
5 
8 – 10 
9 
10 
10 and less than 12 
8 
10 – 12 
11 
18 
12 and less than 14 
5 
12 – 14 
13 
23 
14 and less than 16 
2 
14 – 16 
15 
25 
b) Histogram 
c) Frequency Polygon 
d) a less than ogives
Jamri AB QMT181/212/216 
5 
e) Stem-and-Leaf Displays 
 A statistical technique to present a set of data. 
 Each numerical value is divided into two parts. 
 The leading digit(s) becomes the stem and the trailing digit the leaf. 
 The stems are located along the vertical axis, and the leaf values are stacked against each other along the horizontal axis. 
Example 9 ; 
Number of Advertising Spots Purchased by Members of the Greater Buffalo Automobile Dealers Association 
96 93 88 117 127 95 113 96 108 94 148 156 
139 142 94 107 125 155 155 103 112 127 117 120 
112 135 132 111 125 104 106 139 134 119 97 89 
118 136 125 143 120 103 113 124 138 
Solution; 
The smallest number is 88, so we will make the first stem value 8. 
The largest number is 156, so we will have the stem values begin at 8 and continue to 15. 
Organizing all the data, the stem-and-leaf chart looks as follows 
Stem 
Leaf 
8 
9 
10 
11 
12 
13 
14 
15 
8 9 
3 4 4 5 6 6 7 
3 3 4 6 7 8 
1 2 2 3 3 7 7 8 9 
0 0 4 5 5 5 7 7 
2 4 5 6 8 9 9 
2 3 8 
5 5 6 
You can convert the stem-and-leaf chart to frequency table, looks as follows. 
(if you want to draw a graph) 
Class 
Frequency 
80 – 89 
90 – 99 
100 – 109 
110 – 119 
120 – 129 
130 – 139 
140 – 149 
150 - 159 
2 
7 
6 
9 
8 
7 
3 
3

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Chap2 data presentation

  • 1. Jamri AB QMT181/212/216 1 CHAPTER 2 : DATA PRESENTATION 2.1 ORGANISING AND GRAPHING QUALITATIVE DATA Qualitative data can be classified into categories or classes. They can best be presented in the form of frequency distribution, bar chart, pie chart and contingency table. a) Frequency distribution There are many forms of tables available such as : i) One-way table - the simplest form of table that describes information concerning a single variable. Example 1: The number of contractors in State EMAS. Class Number of contractors A 7 B 17 C 23 D 35 E 40 ii) Two-way table or contingency table – summarizes information concerning two variables. Example 2: The number of contractors in State EMAS according to District. District Class Category A B C D E X 3 4 8 10 15 Y 2 6 10 16 13 Z 2 7 5 9 12 b) Bar Charts Bar charts are very often used in newspapers and magazines to convey information. A bar chart is one that uses the length of horizontal bars or vertical columns to represent quantities or percentages. i) Simple Bar Chart A simple bar chart is one in which the bars represent one unit quantity or variable only. The length of the bar indicates quantities or percentages. Example 3 Refer to table example 1
  • 2. Jamri AB QMT181/212/216 2 The number of contractors in state EMAS 0 5 10 15 20 25 30 35 40 45 A B C D E Class Frequency ii) Multiple Bar Chart (Cluster bar chart) Example 4 Refer to table example 2 The number of contractors in state EMAS according to district 0 2 4 6 8 10 12 14 16 18 A B C D E Class Frequency X Y Z iii) Component Bar Charts (Stacked bar chart) A component bar chart is one in which some of the bars are stacked on top of each other. This type of bar chart is often used when various totals are also to be compared. Example 5 Refer to table example 2 The number of contractors in state EMAS according to district 0 5 10 15 20 25 30 35 40 45 A B C D E Class Frequency Z Y X
  • 3. Jamri AB QMT181/212/216 3 iv) Percentage component bar charts Example 6 Refer to table example 2 Convert the values to percentage A B C D E X 42.9 23.5 34.8 28.6 37.5 Y 28.6 35.3 43.5 45.7 32.5 Z 28.6 41.2 21.7 25.7 30.0 The number of contractors in state EMAS according to district 0.0 20.0 40.0 60.0 80.0 100.0 120.0 A B C D E Class Percentage Z Y X c) Pie Charts Example 7 Refer to table example 1 The number of contractors in state EMAS A 6% B 14% C 19% D 29% E 32%
  • 4. Jamri AB QMT181/212/216 4 2.2 ORGANISING AND GRAPHING QUANTITATIVE DATA Terminologies for a Frequency Distribution a) Class limits - the end values of a class interval. The value on the left is the lower class limit and the value on the right is the upper class limit. b) Class Boundary - a value that falls midway between the upper limit of one class and the lower limit of the next one. c) Class midpoint - the middle value of a class interval. Can be determined by averaging either the class limits or the class boundaries. d) Cumulative frequency - is determined by summing the frequencies for the class and all prior classes. Example 8: A frequency distribution table showing the price of houses at Bandar Teronoh is shown below: Cost (RM’000) Number of houses Class boundary Midpoint Cumulative frequency 110-119 9 109.5-119.5 114.5 9 120-129 12 119.5-129.5 124.5 21 130-139 16 129.5-139.5 134.5 37 140-149 11 139.5-149.5 144.5 48 150-159 8 149.5-159.5 154.5 56 160-169 4 159.5-169.5 164.5 60 Amount of Steel (tones) Number of Buildings Class boundary Midpoint Cumulative frequency 4 and less than 6 1 4 - 6 5 1 6 and less than 8 4 6 – 8 7 5 8 and less than 10 5 8 – 10 9 10 10 and less than 12 8 10 – 12 11 18 12 and less than 14 5 12 – 14 13 23 14 and less than 16 2 14 – 16 15 25 b) Histogram c) Frequency Polygon d) a less than ogives
  • 5. Jamri AB QMT181/212/216 5 e) Stem-and-Leaf Displays  A statistical technique to present a set of data.  Each numerical value is divided into two parts.  The leading digit(s) becomes the stem and the trailing digit the leaf.  The stems are located along the vertical axis, and the leaf values are stacked against each other along the horizontal axis. Example 9 ; Number of Advertising Spots Purchased by Members of the Greater Buffalo Automobile Dealers Association 96 93 88 117 127 95 113 96 108 94 148 156 139 142 94 107 125 155 155 103 112 127 117 120 112 135 132 111 125 104 106 139 134 119 97 89 118 136 125 143 120 103 113 124 138 Solution; The smallest number is 88, so we will make the first stem value 8. The largest number is 156, so we will have the stem values begin at 8 and continue to 15. Organizing all the data, the stem-and-leaf chart looks as follows Stem Leaf 8 9 10 11 12 13 14 15 8 9 3 4 4 5 6 6 7 3 3 4 6 7 8 1 2 2 3 3 7 7 8 9 0 0 4 5 5 5 7 7 2 4 5 6 8 9 9 2 3 8 5 5 6 You can convert the stem-and-leaf chart to frequency table, looks as follows. (if you want to draw a graph) Class Frequency 80 – 89 90 – 99 100 – 109 110 – 119 120 – 129 130 – 139 140 – 149 150 - 159 2 7 6 9 8 7 3 3